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🔍 program development 📂 Computer Science 📄 Preprint
Showing 37469 results for "program development" in Computer Science · Preprint
Computer Science Preprint PDF DOI

Knowledge Lever Risk Management for Software Engineering: A Stochastic Framework for Mitigating Knowledge Loss

Mark Chua, Samuel Ajila · 2026

Software engineering (SE) organizations operate in a knowledge-intensive domain where critical assets -- architectural expertise, design rationale, and system intuition -- are overwhelmingly tacit and…

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Computer Science Preprint PDF DOI

Code Broker: A Multi-Agent System for Automated Code Quality Assessment

Samer Attrah · 2026

We present Code Broker, a multi agent system built with Google Agent Development Kit ADK that analyses Python code from files, local directories, or GitHub repositories and generates actionable qualit…

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Computer Science Preprint PDF DOI

Remote Concolic Multiverse Debugging -- Extended Version with Additional Appendices

Maarten Steevens, Tom Lauwaerts, Christophe Scholliers · 2026

Debugging nondeterministic programs is inherently difficult, particularly in microcontroller environments where execution paths can diverge unpredictably due to external sensor inputs. Traditional deb…

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Computer Science Preprint PDF DOI

Code for All: Educational Applications of the "Vibe Coding" Hackathon in Programming Education across All Skill Levels

Ashley J. Chen, Yijia Cao, Minghao Shao, Ramesh Karri, Muhammad Shafique · 2026

The emergence of large language models has enabled vibe coding, a natural language approach to programming in which users describe intent and AI generates or revises code, potentially broadening acces…

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Computer Science Preprint PDF DOI

Entrywise Low-Rank Approximation and Matrix $p \rightarrow q$ Norms via Global Correlation Rounding

Prashanti Anderson, Ainesh Bakshi, Samuel B. Hopkins · 2026

Given a matrix $A$, the goal of the entrywise low-rank approximation problem is to find $\operatorname{argmin} \|A-B\|_p$ over all rank-$k$ matrices $B$, where $\| \cdot \|_p$ is the entrywise $\ell_p…

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Computer Science Preprint PDF DOI

How Supply Chain Dependencies Complicate Bias Measurement and Accountability Attribution in AI Hiring Applications

Gauri Sharma, Maryam Molamohammadi · 2026

The increasing adoption of AI systems in hiring has raised concerns about algorithmic bias and accountability, prompting regulatory responses including the EU AI Act, NYC Local Law 144, and Colorado's…

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Computer Science Preprint PDF DOI

RealBench: A Repo-Level Code Generation Benchmark Aligned with Real-World Software Development Practices

Jia Li, Hongyi Deng, Yiran Zhang, Kechi Zhang, Tianqi Shao, Tiankuo Zhao, Weinan Wang, Zhi Jin, Ge Li, Yang Liu, Yingtao Fang, Yihong Dong · 2026

Writing code requires significant time and effort in software development. To automate this process, researchers have made substantial progress using Large Language Models (LLMs) for code generation. …

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Computer Science Preprint PDF DOI

Verifier Warnings Do Not Improve Comprehensibility Prediction

Nadeeshan De Silva, Martin Kellogg, Oscar Chaparro · 2026

Proponents of software verification suggest that code simplicity is linked to the effort to verify code, hypothesizing that formal verifiers produce fewer false positive warnings and require less manu…

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Computer Science Preprint PDF DOI

Adversarial Malware Generation in Linux ELF Binaries via Semantic-Preserving Transformations

Lukas Hrdonka, Martin Jurecek · 2026

Malware development and detection have undergone significant changes in recent years as modern concepts, such as machine learning, have been used for both adversarial attacks and defense. Despite inte…

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Computer Science Preprint PDF DOI

Vibe coding for clinicians: democratising bespoke software development for digital health innovation

Ariel Yuhan Ong, Iain Livingstone, Caroline Kilduff, Mertcan Sevgi, David A Merle, Eden Ruffell, Pearse A Keane, Fares Antaki · 2026

Clinicians often face workflow problems that are perceived as either too bespoke or low stakes to attract commercial attention. Historically, most do not have the technical knowledge to address these …

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Computer Science Preprint PDF DOI

From Natural Language to Verified Code: Toward AI Assisted Problem-to-Code Generation with Dafny-Based Formal Verification

Md Erfan, Md Kamal Hossain Chowdhury, Ahmed Ryan, Md Rayhanur Rahman · 2026

Large Language Models (LLMs) show promise in automated software engineering, yet their guarantee of correctness is frequently undermined by erroneous or hallucinated code. To enforce model honesty, fo…

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Computer Science Preprint PDF DOI

A Comparison of ROS 2 and AUTOSAR Adaptive Platform Against Industry-Elicited Automotive Middleware Requirements

Lucas Hegerath, David Philipp Kluner, Philipp Pelcz, Viswanatha Reddy Batchu, Marius Molz, Julius Kahle, Thomas Schulik, Stefan Kowalewski, Alexandru Kampmann · 2026

In software-defined vehicles, automotive middleware plays a fundamental role in enabling efficient communication, integration, and coordination among software components. This paper examines how well …

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Computer Science Preprint PDF DOI

Module Lattice Security (Part II): Module Lattice Reduction via Optimal Sign Selection

Ming-Xing Luo · 2026

We extend the CDPR lattice reduction algorithm from ideal to module lattices, leveraging the trace orthogonality of the power basis to decompose the module into rank-1 submodules and applying CDPR ind…

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Computer Science Preprint PDF DOI

Ownership Refinement Types for Pointer Arithmetic and Nested Arrays

Yusuke Fujiwara, Yusuke Matsushita, Kohei Suenaga, Atsushi Igarashi · 2026

Tanaka et al. proposed a type system for verifying functional correctness properties of programs that use arrays and pointer arithmetic. Their system extends ConSORT -- a type system combining fractio…

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Computer Science Preprint PDF DOI

Inclusive Learning Analytics with Embedded Data Comics: A Conceptual Framework for Public Understanding of AI Ethics

Mengyi Wei, Chenyu Zuo, Dongsheng Chen, Liqiu Meng · 2026

Public awareness of AI ethics plays a crucial role in fostering the responsible and sustainable development of AI technology. However, finding effective ways to promote public understanding of the eth…

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Computer Science Preprint PDF DOI

Resource-Aware Layered Intrusion Detection Allocation Model

Ioan Padurean, Bela Genge, Roland Bolboaca · 2026

This paper proposes a resource-aware allocation model for layered intrusion detection in het erogeneous networks. Monitoring traffic at higher protocol layers improves the ability to detect sophistica…

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Computer Science Preprint PDF DOI

Exploiting pre-optimized kernels with polyhedral transformations for CGRA compilation

Yuxuan Wang, Maria Jose Belda, Fernando Castro, Katzalin Olcoz, David Atienza, Giovanni Ansaloni · 2026

Modern computing workloads commonly involve matrix-matrix multiplication (mmul) as a core computing pattern. Coarse-Grained Reconfigurable Arrays (CGRAs) can flexibly and efficiently support it, since…

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Computer Science Preprint PDF DOI

Train in Vain: Functionality-Preserving Poisoning to Prevent Unauthorized Use of Code Datasets

Yuan Xiao, Jiaming Wang, Yuchen Chen, Wei Song, Jun Sun, Shiqing Ma, Yanzhou Mu, Juan Zhai, Chunrong Fang, Jin Song Dong, Zhenyu Chen · 2026

The widespread availability of large-scale code datasets has accelerated the development of code large language models (CodeLLMs), raising concerns about unauthorized dataset usage. Dataset poisoning …

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Computer Science Preprint PDF DOI

AutoINV: Automated Invariant Generation Framework for Formal Verification on High-Level Synthesis Designs

Xiaofeng Zhou, Linfeng Du, Guangyu Hu, Sharad Sinha, Hongce Zhang, Wei Zhang · 2026

High-level synthesis (HLS) transforms an algorithmic description of hardware from a higher abstraction (e.g., C/C++) into a register-transfer level (RTL) design, offering reduced development time and …

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Computer Science Preprint PDF DOI

A Co-Evolutionary Theory of Human-AI Coexistence: Mutualism, Governance, and Dynamics in Complex Societies

Somyajit Chakraborty · 2026

Classical robot ethics is often framed around obedience, including Asimov's laws. This framing is insufficient for contemporary AI systems, which are increasingly adaptive, generative, embodied, and e…

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